Prediction of the Adsorption Behaviors of Radionuclides onto Bentonites Using a Machine Learning Method
This study builds a model to predict distribution coefficients (K<sub>d</sub>) using the random forest (RF) method and a machine learning model based on the Japan Atomic Energy Agency Sorption Database (JAEA-SDB). A database of ten input variables, including the distribution coefficient,...
Main Authors: | Do-Hyeon Kim, Jun-Yeop Lee |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-09-01
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Series: | Minerals |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-163X/12/10/1207 |
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